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10-Aug-09 - Article published in the ISPE's Journal of Pharmaceutical Innovation

Abstract With increasing pressure to accelerate drug

development and minimize associated costs, it has become

critical for pharmaceutical companies to optimize the

clinical supply chain. Various tools have been developed

to improve forecasts of medication requirements, some of

them based on Monte Carlo simulation techniques. In this

paper, we describe an innovative approach that goes

beyond simulating trials with a priori supply strategies.

This approach optimizes the supply plan by balancing the

various costs against the risk of running out of medication

and utilizes the Bayesian principle to reevaluate supply

strategies over time. Supporting methodologies and

processes, key to a successful implementation, are also

emphasized.

The next release of CT-FAST (August 2009) will comprise an entirely new module allowing, in addition to trial-level forecasting, planning at the compound level. CT-FAST COMPOUND will forecast manufacturing needs for drug product, taking into account simulated trials as well as high level information relative to a long-term clinical development plan.

Contact us at ct-fast@n-side.com or at +1-717-715-7232 (US)/+32-10-39-0030 (Belgium) to obtain more information or get a demo.

SLIDES: ISPE Webinar: "Balancing Risk and Costs to Optimize the Clinical Supply Chain: A Step Beyond Simulation".

Take a look at the last release of CT-FAST and discover how to optimize your clinical supply chain!